CN113256942A - Advanced early warning method and device for abnormal event, electronic equipment and medium - Google Patents
Advanced early warning method and device for abnormal event, electronic equipment and medium Download PDFInfo
- Publication number
- CN113256942A CN113256942A CN202110538754.2A CN202110538754A CN113256942A CN 113256942 A CN113256942 A CN 113256942A CN 202110538754 A CN202110538754 A CN 202110538754A CN 113256942 A CN113256942 A CN 113256942A
- Authority
- CN
- China
- Prior art keywords
- early warning
- event
- processed
- abnormal
- abnormal event
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The embodiment of the invention discloses a method and a device for early warning of an abnormal event, electronic equipment and a medium. The method comprises the following steps: determining early warning characteristic parameters corresponding to the abnormal events to be processed; determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter; and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment. By executing the technical scheme, the operator can quickly react at the first time when the working condition is abnormally changed, and the stable operation of the industrial process flow is ensured.
Description
Technical Field
The embodiment of the invention relates to the technical field of petrochemical production, in particular to an advance early warning method and device for an abnormal event, electronic equipment and a medium.
Background
In the process flow of petroleum and natural gas treatment, the parameters of the process system are obtained by setting process probes such as pressure, temperature, liquid level and the like, and then are transmitted to a central control system through a transmitter. In the prior art, a system sets a high-low pre-alarm and a high-low turn-off alarm of each control parameter, and reminds an operator to adjust a flow when the abnormal working condition parameter reaches the alarm. The early warning mechanism has obvious disadvantages. The process parameter pre-alarm value is set to be generally far away from the normal working condition value and close to the turn-off alarm value. When the working condition changes, the parameter change triggers the alarm to be continued for a period of time. When the parameter triggers the pre-alarm value, the alarm is triggered to be turned off in a short time, and the operator cannot handle the serious consequence. Therefore, a method for early warning of abnormal conditions in advance is needed.
Disclosure of Invention
The embodiment of the invention provides an early warning method, an early warning device, electronic equipment and a medium for an abnormal event, so that a central control operator can quickly react at the first time when the working condition is abnormally changed, and the technical effect of ensuring stable operation of an industrial process flow is achieved.
In a first aspect, an embodiment of the present invention provides a method for early warning of an abnormal event, where the method includes:
determining early warning characteristic parameters corresponding to the abnormal events to be processed;
determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
In a second aspect, an embodiment of the present invention further provides a device for early warning of an abnormal event, where the device includes:
the parameter determining module is used for determining early warning characteristic parameters corresponding to the abnormal events to be processed;
the time determining module is used for determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and the early warning sending module is used for sending an early warning to the abnormal event to be processed on an event early warning interface according to the early warning time.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
storage means for storing one or more programs;
the one or more programs are executed by the one or more processors to cause the one or more processors to implement a method of forewarning of exception events as provided in any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for early warning of an abnormal event as provided in any of the embodiments of the present invention.
The embodiment of the invention provides an advanced early warning method for an abnormal event, which comprises the steps of determining an early warning characteristic parameter corresponding to the abnormal event to be processed; determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter; and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
By adopting the technical scheme, the early warning time of the abnormal event to be processed is determined according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the parameter value, and the early warning is sent out on the abnormal event to be processed according to the early warning time, so that an operator can know that the abnormal event will occur in advance, the central control operator can quickly react at the first time when the working condition abnormally changes, and the technical effect of stable operation of the industrial process flow is ensured.
The above summary of the present invention is merely an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description in order to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart of a method for early warning of an abnormal event according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an event warning interface according to an embodiment of the present disclosure;
fig. 3 is a flowchart of another advanced warning method for abnormal events according to the second embodiment of the present application;
fig. 4 is a schematic diagram of a change of an early warning characteristic parameter under an abnormal condition according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a advanced warning device for an abnormal event according to a third embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of an advance warning method for an abnormal event according to an embodiment of the present invention, where the method is applicable to advance warning of abnormal conditions in an oil and gas process, and the method is executed by an advance warning device for an abnormal event, where the advance warning device can be implemented by software and/or hardware, and can be integrated in an electronic device. As shown in fig. 1, the advanced warning method for an abnormal event in this embodiment includes the following steps:
and S110, determining early warning characteristic parameters corresponding to the abnormal events to be processed.
In the existing petroleum and natural gas processing process early warning system, the system sets a high-low pre-warning and a high-low off-warning of each control parameter according to the process characteristics of the petroleum and natural gas industry, the warning limit and the off-limit are generally very close, when an abnormal working condition occurs, the pre-warning value is started only after 40 minutes at most, the emergency response time of an operator is greatly shortened, and under the original warning mechanism, if the warning value is reached and the warning is given, the operator cannot report the abnormal working condition for processing, the abnormal working condition reaches the off-value within a very short time, equipment corresponding to the abnormal working condition is turned off, great influence is caused on industrial production, and equipment damage is possibly caused. Therefore, under the current early warning mechanism, an operator cannot acquire relevant information at the first time when the working condition changes, and takes emergency measures. Therefore, an advance early warning system of the abnormal working condition is established on the basis of the control parameter warning system of the original abnormal working condition, the emergency response time of an operator can be prolonged, and the stable operation of the industrial process flow is ensured.
The abnormal event to be processed can be a working condition event in the petroleum and gas process to be pre-warned, and the pre-warning characteristic parameter can represent whether the abnormal working condition event occurs or not.
In an alternative of the present embodiment, it may be combined with one or more of the alternatives of the present embodiment. Determining an early warning characteristic parameter corresponding to the abnormal event to be processed may include: if the to-be-processed abnormal event comprises an event parameter, taking the event parameter as an early warning characteristic parameter corresponding to the to-be-processed abnormal event; and if the to-be-processed abnormal event comprises at least two event parameters, integrating the at least two event parameters, and taking the integrated parameters as early warning characteristic parameters corresponding to the to-be-processed abnormal event.
The event parameters are all directly measurable parameters contained in the industrial condition event, such as temperature, pressure, flow rate, etc. There are some conditions that include only one event parameter, such as the anomaly event "landing pressure anomaly change" includes only pressure parameters, but also a part of the working condition events comprise a plurality of event parameters, the change of the plurality of event parameters jointly determines whether the events occur or not, for example, the abnormal event "the flow rate of the natural gas heat exchanger is not uniformly distributed" affects the parameters of the event, including temperature, pressure, flow rate, etc., the existing abnormal event alarm system observes the event parameters obtained directly, some event parameters are normal, but an abnormal condition event has occurred, and therefore, it is not accurate enough to alarm the condition by observing only a single event parameter, and at least two event parameters are integrated, the integrated parameters are used as early warning characteristic parameters, and the occurrence of abnormal working conditions is directly represented through the change of the early warning characteristic parameters.
By adopting the technical scheme, the abnormal working condition event is pre-warned by judging the number of the event parameters included by the abnormal event to be processed and selecting to directly use the event parameters as the pre-warning characteristic parameters or obtain new pre-warning characteristic parameters through event parameter integration, so that the abnormal working condition event can be pre-warned more accurately and more intuitively.
And S120, determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter.
The fluctuation period of the early warning characteristic parameter is a period duration of periodic variation of the early warning characteristic parameter, the fluctuation range of the early warning characteristic parameter is a maximum value minus a minimum value of the periodic fluctuation of the early warning characteristic parameter, and the time for sending an advance early warning to an abnormal event is determined according to the time when the early warning characteristic parameter reaches the maximum value or the minimum value of the fluctuation, the fluctuation period and the fluctuation range of the characteristic parameter in the actual process flow.
And S130, sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
The event early warning interface is an interface which displays all possible abnormal events on a display or a screen, and early warning alarms are sent out to corresponding abnormal working conditions on the event early warning interface at the leading moment.
In an alternative of the present embodiment, it may be combined with one or more of the alternatives of the present embodiment. Before sending out the advance warning to the to-be-processed abnormal event on the event warning interface according to the advance warning time, the method can comprise the following steps of A1-A2:
step A1, constructing the event early warning interface, and partitioning the event early warning interface according to the event type of the to-be-processed abnormal event.
Step A2, dividing the to-be-processed abnormal events of the same event type into the same partition of the event early warning interface for list display.
As shown in fig. 2, when an event early warning interface is constructed, the event early warning interface may be partitioned according to event types, abnormal conditions of the same event type are partitioned into the same partition in different areas, and displayed in a list according to the event types, in fig. 2, the event early warning interface is partitioned according to different series of process flows and displayed according to different colors, and in a gray scale, the event early warning interface is represented as different gray scale values.
By adopting the technical scheme, the event early warning interface is partitioned according to the event type of the abnormal event to be processed when the event early warning interface is constructed, and the abnormal working condition event of the same event type is partitioned into the same partition for list display, so that the technical effect of describing the working condition event condition of the early warning interface intuitively, accurately, concisely and efficiently is achieved.
In an alternative of the present embodiment, it may be combined with one or more of the alternatives of the present embodiment. Sending an advance warning to the to-be-processed abnormal event on an event warning interface according to the advance warning time, wherein the advance warning may include: and at the early warning moment, highlighting and marking the corresponding abnormal event to be processed in the event early warning interface, and displaying the event information of the abnormal event to be processed in a pop-up manner while sending out an audio alarm.
When the early warning is sent at the early warning moment, the abnormal working condition event is highlighted on the event early warning interface, the color identification before the abnormal working condition can be modified into striking red, the normal working condition is green, and when the early warning moment is sent, the audio alarm is sent, and meanwhile, the abnormal information, the parameter information and the abnormal working condition event preparation solution of the abnormal working condition event are displayed in a pop-up window mode above the event early warning interface.
According to the technical scheme of the embodiment, the early warning characteristic parameter corresponding to the abnormal event to be processed is firstly determined, the early warning time of the abnormal event to be processed is determined according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the parameter value, and finally the early warning is sent out on the abnormal event to be processed according to the early warning time, so that an operator can know that the abnormal event is about to occur in advance, the central control operator can quickly react at the first time when the working condition is abnormally changed, and the technical effect of stable operation of the industrial process flow is ensured.
Example two
Fig. 3 is a flowchart of another advanced warning method for an abnormal event according to the second embodiment of the present application. Embodiments of the present invention are further optimized on the basis of the above-mentioned embodiments, and the embodiments of the present invention may be combined with various alternatives in one or more of the above-mentioned embodiments. As shown in fig. 3, the advanced warning method for an abnormal event provided in the embodiment of the present invention may include the following steps:
s310, determining early warning characteristic parameters corresponding to the abnormal events to be processed.
S320, determining early warning characteristic parameters of a target moment, wherein the target moment is a moment after an event early warning duration from the moment when the early warning characteristic parameters reach an extreme value of a fluctuation range; and the event early warning duration is determined by the fluctuation period of the early warning characteristic parameter and the early warning compensation duration.
As shown in fig. 4, the upper and lower alarm high limit values and the alarm low limit values in the graph may refer to alarm values in the original alarm system, and an alarm is issued when a parameter in the original alarm system reaches the parameter value, and at this time, the turn-off value is already approached, and the reaction time of an operator is very short. And a to b is the process that the early warning characteristic parameter fluctuates from the highest value to the lowest value, the time from a to b is half of the fluctuation cycle time of the early warning characteristic parameter, c is the fluctuation range of the early warning characteristic parameter, and the time after the early warning time of the event is the target time from the moment that the early warning characteristic parameter reaches the extreme value each time. The event early warning duration may be half of the early warning characteristic parameter fluctuation period duration plus the early warning compensation duration.
In an alternative of the present embodiment, it may be combined with one or more of the alternatives of the present embodiment. The larger the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the larger the early warning compensation time of the abnormal event to be processed is; the smaller the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the smaller the early warning compensation duration of the abnormal event to be processed is.
The early warning compensation duration is a time parameter which can be set freely, and the target time required by abnormal working condition discovery is adjusted reasonably. When the change rate of the characteristic parameters after the abnormal working condition occurs is slow, and the fluctuation period of the abnormal working condition can also be understood to be long, the value of the early warning compensation duration can be properly increased; when the change of the characteristic parameters after the abnormal working condition occurs is fast, the fluctuation period of the abnormal working condition can be understood to be short, and the value of the early warning compensation time can be properly reduced.
By adopting the technical scheme, the time after the event early warning time length from the time when the early warning characteristic parameter reaches the extreme value of the fluctuation range is taken as the target time, the event early warning time length is determined by the fluctuation period and the early warning compensation time length of the early warning characteristic parameter, the early warning characteristic parameter value at the target time is judged, whether an abnormal working condition event occurs or not is further judged, the early warning compensation time length is modified according to the fluctuation period of the working condition event, and therefore the purposes of accurately judging the abnormal working condition and preventing false alarm are achieved.
S330, if the absolute value of the difference between the early warning characteristic parameter value of the target moment and the extreme value of the fluctuation range of the early warning characteristic parameter is greater than the fluctuation range of the early warning characteristic parameter, taking the target moment as an advanced early warning moment.
As shown in fig. 4, if an abnormal condition occurs, a certain time exists, which is a time that is reached after half of the fluctuation cycle time from the time when the last early warning feature parameter fluctuates to the extreme value, and the absolute value of the difference between the current early warning feature parameter value and the fluctuation range extreme value (a or b) of the early warning feature parameter is greater than the fluctuation range value c of the early warning feature parameter, and this time is used as the early warning time. If the absolute value of the difference value between the early warning characteristic parameter value and the fluctuation range extreme value (a or b) of the early warning characteristic parameter at the moment is smaller than the fluctuation range value c of the early warning characteristic parameter, no abnormal working condition event occurs. If the early warning of the abnormal working condition is finished, the moment of sending the early warning, namely the moment of the early warning, is the moment when the early warning characteristic parameter value just crosses the fluctuation high value or the fluctuation low value.
And S340, sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning time.
According to the technical scheme of the embodiment, the early warning characteristic parameter corresponding to the abnormal event to be processed is firstly determined, the early warning time of the abnormal event to be processed is determined according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the parameter value, and finally the early warning is sent out on the abnormal event to be processed according to the early warning time, so that an operator can know that the abnormal event is about to occur in advance, the central control operator can quickly react at the first time when the working condition is abnormally changed, and the technical effect of stable operation of the industrial process flow is ensured.
EXAMPLE III
Fig. 5 is a schematic structural diagram of a leading warning device for an abnormal event according to a third embodiment of the present invention. The device can be suitable for the condition of advance early warning of the abnormal working condition of the petroleum and natural gas process, can be realized by software and/or hardware, and is integrated in electronic equipment. The device is used for realizing the advance early warning method for the abnormal event provided by the embodiment. As shown in fig. 5, the advance warning apparatus for an abnormal event provided in this embodiment includes:
a parameter determining module 510, configured to determine an early warning feature parameter corresponding to the abnormal event to be processed;
a time determination module 520, configured to determine an advanced early warning time of the abnormal event to be processed according to a fluctuation period of the early warning feature parameter and a fluctuation range of the early warning feature parameter;
an early warning sending module 530, configured to send an early warning to the to-be-processed abnormal event on an event early warning interface according to the early warning time.
On the basis of the above embodiment, optionally, the parameter determining module 510 includes a parameter integrating unit, configured to:
if the to-be-processed abnormal event comprises an event parameter, taking the event parameter as an early warning characteristic parameter corresponding to the to-be-processed abnormal event;
and if the to-be-processed abnormal event comprises at least two event parameters, integrating the at least two event parameters, and taking the integrated parameters as early warning characteristic parameters corresponding to the to-be-processed abnormal event.
On the basis of the foregoing embodiment, optionally, the time determining module 520 is configured to:
determining early warning characteristic parameters of a target moment, wherein the target moment is the moment after an event early warning duration from the moment when the early warning characteristic parameters reach an extreme value of a fluctuation range;
the event early warning duration is determined by the fluctuation period of the early warning characteristic parameter and the early warning compensation duration;
and if the absolute value of the difference value between the early warning characteristic parameter value of the target moment and the extreme value of the fluctuation range of the early warning characteristic parameter is greater than the fluctuation range value of the early warning characteristic parameter, taking the target moment as an advanced early warning moment.
On the basis of the foregoing embodiment, optionally, the time determining module 520 is further configured to:
the larger the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the larger the early warning compensation time of the abnormal event to be processed is; the smaller the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the smaller the early warning compensation duration of the abnormal event to be processed is.
On the basis of the foregoing embodiment, optionally, the early warning issuing module 530 is configured to:
before sending an advance warning to the to-be-processed abnormal event on an event warning interface according to the advance warning moment, the method comprises the following steps:
constructing the event early warning interface, and partitioning the event early warning interface according to the event type of the abnormal event to be processed;
and dividing the to-be-processed abnormal events of the same event type into the same partition of the event early warning interface for list display.
On the basis of the foregoing embodiment, optionally, the early warning issuing module 530 is further configured to:
and at the early warning moment, highlighting and marking the corresponding abnormal event to be processed in the event early warning interface, and displaying the event information of the abnormal event to be processed in a pop-up manner while sending out an audio alarm.
The advance warning device for the abnormal event provided by the embodiment of the invention can execute the advance warning method for the abnormal event provided by any embodiment of the invention, has the corresponding functions and beneficial effects of the advance warning method for the abnormal event, and the detailed process refers to the relevant operation of the advance warning method for the abnormal event in the embodiment.
Example four
Fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application. The embodiment of the application provides electronic equipment, and the advance early warning device for the abnormal event provided by the embodiment of the application can be integrated in the electronic equipment. As shown in fig. 6, the present embodiment provides an electronic device 600, which includes: one or more processors 620; the storage device 610 is configured to store one or more programs, and when the one or more programs are executed by the one or more processors 620, the one or more processors 620 are enabled to implement the method for early warning of an abnormal event according to the embodiment of the present application, the method includes:
determining early warning characteristic parameters corresponding to the abnormal events to be processed;
determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
Of course, those skilled in the art can understand that the processor 620 also implements the technical solution of the advanced warning method for the abnormal event provided in any embodiment of the present application.
The electronic device 600 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the electronic device 600 includes a processor 620, a storage device 610, an input device 630, and an output device 640; the number of the processors 620 in the electronic device may be one or more, and one processor 620 is taken as an example in fig. 6; the processor 620, the storage device 610, the input device 630, and the output device 640 in the electronic apparatus may be connected by a bus or other means, and are exemplified by being connected by a bus 650 in fig. 6.
The storage device 610 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the advance warning method for abnormal events in the embodiments of the present application.
The storage device 610 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. In addition, the storage 610 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 610 may further include memory located remotely from the processor 620, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 630 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 640 may include a display screen, a speaker, and other electronic devices.
The electronic equipment provided by the embodiment of the application can enable a central control operator to quickly react at the first time when the working condition is abnormally changed, and guarantees the technical effect of stable operation of the industrial process flow.
EXAMPLE five
An embodiment of the present invention provides a computer-readable medium, on which a computer program is stored, where the computer program is used, when executed by a processor, to perform a method for early warning of an abnormal event, where the method includes:
determining early warning characteristic parameters corresponding to the abnormal events to be processed;
determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
Optionally, the program may be further configured to perform a forewarning method for an abnormal event provided in any embodiment of the present invention when executed by the processor.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. A computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take a variety of forms, including, but not limited to: an electromagnetic signal, an optical signal, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for early warning of an abnormal event is characterized by comprising the following steps:
determining early warning characteristic parameters corresponding to the abnormal events to be processed;
determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and sending an advance early warning to the abnormal event to be processed on an event early warning interface according to the advance early warning moment.
2. The method of claim 1, wherein determining the early warning feature parameters corresponding to the abnormal event to be processed comprises:
if the to-be-processed abnormal event comprises an event parameter, taking the event parameter as an early warning characteristic parameter corresponding to the to-be-processed abnormal event;
and if the to-be-processed abnormal event comprises at least two event parameters, integrating the at least two event parameters, and taking the integrated parameters as early warning characteristic parameters corresponding to the to-be-processed abnormal event.
3. The method of claim 1, wherein determining the early warning time of the abnormal event to be processed according to the fluctuation period of the early warning feature parameter and the fluctuation range of the early warning feature parameter comprises:
determining early warning characteristic parameters of a target moment, wherein the target moment is the moment after an event early warning duration from the moment when the early warning characteristic parameters reach an extreme value of a fluctuation range;
the event early warning duration is determined by the fluctuation period of the early warning characteristic parameter and the early warning compensation duration;
and if the absolute value of the difference value between the early warning characteristic parameter value of the target moment and the extreme value of the fluctuation range of the early warning characteristic parameter is greater than the fluctuation range value of the early warning characteristic parameter, taking the target moment as an advanced early warning moment.
4. The method of claim 3, comprising:
the larger the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the larger the early warning compensation time of the abnormal event to be processed is; the smaller the fluctuation cycle of the early warning characteristic parameter of the abnormal event to be processed is, the smaller the early warning compensation duration of the abnormal event to be processed is.
5. The method of claim 1, wherein before sending an advance warning to the to-be-processed abnormal event on an event warning interface according to the advance warning time, the method comprises:
constructing the event early warning interface, and partitioning the event early warning interface according to the event type of the abnormal event to be processed;
and dividing the to-be-processed abnormal events of the same event type into the same partition of the event early warning interface for list display.
6. The method of claim 1, wherein issuing an advance warning to the pending exception event on an event warning interface according to the advance warning time comprises:
and at the early warning moment, highlighting and marking the corresponding abnormal event to be processed in the event early warning interface, and displaying the event information of the abnormal event to be processed in a pop-up manner while sending out an audio alarm.
7. An advance warning apparatus for an abnormal event, the apparatus comprising:
the parameter determining module is used for determining early warning characteristic parameters corresponding to the abnormal events to be processed;
the time determining module is used for determining the advanced early warning time of the abnormal event to be processed according to the fluctuation period of the early warning characteristic parameter and the fluctuation range of the early warning characteristic parameter;
and the early warning sending module is used for sending an early warning to the abnormal event to be processed on an event early warning interface according to the early warning time.
8. The apparatus of claim 7, further comprising:
the parameter integration unit is used for taking the event parameter as an early warning characteristic parameter corresponding to the abnormal event to be processed if the abnormal event to be processed comprises an event parameter;
and if the to-be-processed abnormal event comprises at least two event parameters, integrating the at least two event parameters, and taking the integrated parameters as early warning characteristic parameters corresponding to the to-be-processed abnormal event.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method for forewarning of an exception event of any of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for forewarning of an exceptional event according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110538754.2A CN113256942B (en) | 2021-05-18 | 2021-05-18 | Advanced early warning method and device for abnormal event, electronic equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110538754.2A CN113256942B (en) | 2021-05-18 | 2021-05-18 | Advanced early warning method and device for abnormal event, electronic equipment and medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113256942A true CN113256942A (en) | 2021-08-13 |
| CN113256942B CN113256942B (en) | 2022-10-28 |
Family
ID=77182424
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110538754.2A Active CN113256942B (en) | 2021-05-18 | 2021-05-18 | Advanced early warning method and device for abnormal event, electronic equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113256942B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115131946A (en) * | 2022-06-27 | 2022-09-30 | 南京凯奥思数据技术有限公司 | Adaptive equipment alarm method and system considering working condition fluctuation |
| CN116070947A (en) * | 2023-01-28 | 2023-05-05 | 北京网藤科技有限公司 | Simulation early warning method, device, equipment and medium for safety production event |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103411774A (en) * | 2013-07-17 | 2013-11-27 | 华北电力大学 | On-line early warning method of wind turbine generating unit on fluctuation working condition |
| CN108765889A (en) * | 2018-04-17 | 2018-11-06 | 中国石油集团安全环保技术研究院有限公司 | Production of hydrocarbons operational safety method for early warning based on big data technology |
| CN109490675A (en) * | 2018-12-27 | 2019-03-19 | 上海辛格林纳新时达电机有限公司 | Method for early warning, electronic equipment and test macro |
| CN109873853A (en) * | 2017-12-05 | 2019-06-11 | 北京绪水互联科技有限公司 | Equipment key parameter early warning system and its implementation, electronic device |
| CN110013243A (en) * | 2018-01-08 | 2019-07-16 | 映泰股份有限公司 | Electrocardiosignal alarming device |
| CN110046245A (en) * | 2018-11-27 | 2019-07-23 | 阿里巴巴集团控股有限公司 | A kind of data monitoring method and device, a kind of calculating equipment and storage medium |
| CN110071476A (en) * | 2019-04-15 | 2019-07-30 | 杭州拓深科技有限公司 | A kind of quick electrical circuit fault detection and route cut-off equipment and control method |
| CN110148285A (en) * | 2019-05-15 | 2019-08-20 | 东营汉威石油技术开发有限公司 | A kind of oilwell parameter intelligent early-warning system and its method for early warning based on big data technology |
| CN110164081A (en) * | 2018-02-13 | 2019-08-23 | 大唐国际发电股份有限公司陡河发电厂 | Generating set assists early warning system |
| CN110500571A (en) * | 2019-08-15 | 2019-11-26 | 国网河南省电力公司电力科学研究院 | A kind of pre-warning and control method and system of fired power generating unit vapor (steam) temperature rapid decrease |
| CN111609923A (en) * | 2020-04-27 | 2020-09-01 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Steam turbine generator unit vibration early warning method based on DCS data |
| CN111756579A (en) * | 2020-06-24 | 2020-10-09 | 北京百度网讯科技有限公司 | Abnormity early warning method, device, equipment and storage medium |
| CN111829693A (en) * | 2020-07-30 | 2020-10-27 | 成都运达科技股份有限公司 | Bearing temperature detection method and system based on LSTM model of time and space dimensions |
| CN112131081A (en) * | 2020-09-28 | 2020-12-25 | 北京达佳互联信息技术有限公司 | Fault alarm parameter adjusting method and device, electronic equipment and storage medium |
| CN112304446A (en) * | 2020-09-29 | 2021-02-02 | 北京微芯区块链与边缘计算研究院 | Electric power equipment alarm processing method and device |
-
2021
- 2021-05-18 CN CN202110538754.2A patent/CN113256942B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103411774A (en) * | 2013-07-17 | 2013-11-27 | 华北电力大学 | On-line early warning method of wind turbine generating unit on fluctuation working condition |
| CN109873853A (en) * | 2017-12-05 | 2019-06-11 | 北京绪水互联科技有限公司 | Equipment key parameter early warning system and its implementation, electronic device |
| CN110013243A (en) * | 2018-01-08 | 2019-07-16 | 映泰股份有限公司 | Electrocardiosignal alarming device |
| CN110164081A (en) * | 2018-02-13 | 2019-08-23 | 大唐国际发电股份有限公司陡河发电厂 | Generating set assists early warning system |
| CN108765889A (en) * | 2018-04-17 | 2018-11-06 | 中国石油集团安全环保技术研究院有限公司 | Production of hydrocarbons operational safety method for early warning based on big data technology |
| CN110046245A (en) * | 2018-11-27 | 2019-07-23 | 阿里巴巴集团控股有限公司 | A kind of data monitoring method and device, a kind of calculating equipment and storage medium |
| CN109490675A (en) * | 2018-12-27 | 2019-03-19 | 上海辛格林纳新时达电机有限公司 | Method for early warning, electronic equipment and test macro |
| CN110071476A (en) * | 2019-04-15 | 2019-07-30 | 杭州拓深科技有限公司 | A kind of quick electrical circuit fault detection and route cut-off equipment and control method |
| CN110148285A (en) * | 2019-05-15 | 2019-08-20 | 东营汉威石油技术开发有限公司 | A kind of oilwell parameter intelligent early-warning system and its method for early warning based on big data technology |
| CN110500571A (en) * | 2019-08-15 | 2019-11-26 | 国网河南省电力公司电力科学研究院 | A kind of pre-warning and control method and system of fired power generating unit vapor (steam) temperature rapid decrease |
| CN111609923A (en) * | 2020-04-27 | 2020-09-01 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Steam turbine generator unit vibration early warning method based on DCS data |
| CN111756579A (en) * | 2020-06-24 | 2020-10-09 | 北京百度网讯科技有限公司 | Abnormity early warning method, device, equipment and storage medium |
| CN111829693A (en) * | 2020-07-30 | 2020-10-27 | 成都运达科技股份有限公司 | Bearing temperature detection method and system based on LSTM model of time and space dimensions |
| CN112131081A (en) * | 2020-09-28 | 2020-12-25 | 北京达佳互联信息技术有限公司 | Fault alarm parameter adjusting method and device, electronic equipment and storage medium |
| CN112304446A (en) * | 2020-09-29 | 2021-02-02 | 北京微芯区块链与边缘计算研究院 | Electric power equipment alarm processing method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115131946A (en) * | 2022-06-27 | 2022-09-30 | 南京凯奥思数据技术有限公司 | Adaptive equipment alarm method and system considering working condition fluctuation |
| CN115131946B (en) * | 2022-06-27 | 2024-03-08 | 南京凯奥思数据技术有限公司 | Adaptive equipment alarm method and system considering working condition fluctuation |
| CN116070947A (en) * | 2023-01-28 | 2023-05-05 | 北京网藤科技有限公司 | Simulation early warning method, device, equipment and medium for safety production event |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113256942B (en) | 2022-10-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113256942B (en) | Advanced early warning method and device for abnormal event, electronic equipment and medium | |
| US9697722B2 (en) | Methods, systems, and devices for managing a plurality of alarms | |
| CN107666476B (en) | CAN bus risk detection method and device | |
| US8924877B2 (en) | Apparatus and method for displaying changes in statistical parameters in a process control system | |
| WO2021115116A1 (en) | Early-warning method and apparatus for performance indicator, and device and storage medium | |
| US8742918B2 (en) | Alarm management system | |
| US10540787B2 (en) | Automated trend chart graphical display generation in a historian system | |
| CN107193714B (en) | Alarm display method and device | |
| JP6181115B2 (en) | Method and apparatus for determining a threshold reference line based on received measurements | |
| US8587425B2 (en) | Methods, systems and apparatus for power management | |
| US10120372B2 (en) | Event processing based system for manufacturing yield improvement | |
| CN111506026A (en) | Co-visualization of process data and process alarms | |
| EP3537275A1 (en) | Information display device, information display method, and program | |
| CN113074783A (en) | Lighthouse type industrial equipment monitoring method and device | |
| JP2009122936A (en) | Sequence program monitor device equipped with display function for abnormality research and programmable controller | |
| JP2016062598A (en) | System for predicting abnormality occurrence using plc log data | |
| JP2018041310A (en) | Monitoring device | |
| US9881398B2 (en) | Trend dynamic sensor imaging using contour maps to visualize multiple trend data sets in a single view | |
| EP3565217B1 (en) | Method for realizing value-added service and cloud server | |
| EP3575910B1 (en) | Device maintenance apparatus, device maintenance method, and non-transitory computer readable storage medium | |
| CN110942246A (en) | Work order monitoring method and equipment | |
| CN115437535B (en) | Data processing method, device, equipment and medium for tobacco shredding workshop | |
| EP2879105B1 (en) | Control panel for a fire detection system | |
| JP2018136716A (en) | Information processing device, program, and control method | |
| WO2018216141A1 (en) | Icon display device and icon display method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |